Eduardo Gutiérrez‐Peña

710 citations
40 papers · 374 indexed · h-index 12

Eduardo Gutiérrez‐Peña

37 papers receiving 343 citations

Peers

Eduardo Gutiérrez‐Peña
Comparison fields: 5 of 88
  • Statistics and Probability 182
  • Artificial Intelligence 177
  • Computer Networks and Communications 40
  • Environmental Engineering 26
  • Genetics 26
Replace Juhyun Park with:
Juhyun Park United Kingdom
Athanasios C. Micheas United States
Hirokazu Yanagihara Japan
Jianhui Zhou United States
Shogo Kato Japan
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Douglas B. Clarkson United States
Sophie Donnet France
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Citations per field
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Citations per year

Countries citing papers authored by Eduardo Gutiérrez‐Peña

Since Specialization
Citations

This map shows the geographic impact of Eduardo Gutiérrez‐Peña's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eduardo Gutiérrez‐Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Gutiérrez‐Peña more than expected).

Fields of papers citing papers by Eduardo Gutiérrez‐Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo Gutiérrez‐Peña. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eduardo Gutiérrez‐Peña. The network helps show where Eduardo Gutiérrez‐Peña may publish in the future.

Co-authorship network of co-authors of Eduardo Gutiérrez‐Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Gutiérrez‐Peña. A scholar is included among the top collaborators of Eduardo Gutiérrez‐Peña based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eduardo Gutiérrez‐Peña. Eduardo Gutiérrez‐Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 7
4
Configural Frequency Analysis of large sparse cross-classifications
2
5
Bayesian Predictive Configural Frequency Analysis
3
6 0
7 21
8 2
9 8
10 20
11 25
12 22
13
Bayesian classification methods
3
14 10
15 11
16
Statistical inference for mixtures of distributions for censored data with partial identification
1
17
Configural Frequency Analysis under Retrospective and Prospective Sampling Schemes-Frequentist and Bayesian Approaches
6
18 10
19
A note on Bayes estimates for exponential families
0
20
A Bayesian predictive semiparametric approach to variable selection and model comparison in regression
6

About Eduardo Gutiérrez‐Peña

Eduardo Gutiérrez‐Peña is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering, having authored 40 papers that have together received 374 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Bayesian Inference (14 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Statistics and Probability (182 citations), Artificial Intelligence (177 citations) and Statistics, Probability and Uncertainty (18 citations). Eduardo Gutiérrez‐Peña has collaborated with scholars based in Mexico, United Kingdom and Italy. Frequent co-authors include Alexander von Eye, A. F. M. Smith, Stephen G. Walker, Guido Consonni, Stephen G. Walker, Manuel E. Mendoza, Ramsés H. Mena, A. F. M. Smith, Edward I. George and Pietro Muliere. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and The Journals of Gerontology Series A.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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